| Predicted Trait | |
| Reported Trait | Fibromyalgia |
| Mapped Trait(s) | fibromyalgia (MONDO_0005546) |
| Additional Trait Information | ICD-10 M79.9 |
| Score Construction | |
| PGS Name | fibromyalgia_European |
| Development Method | |
| Name | PRS-CS |
| Parameters | n = effective sample size, n_iter = 10000, n_burnin = 5000 |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 1,113,197 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000801 |
| Citation (link to publication) | Kerrebijn I et al. Nat Med (2026) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 1,890,706 individuals (100%) |
| PGS Evaluation | European: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
| — | [
|
European | 10 cohorts
|
|
PGS Performance Metric ID (PPM) |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|
| PPM030692 | PSS012250| European Ancestry| 422,581 individuals |
PGP000801 | Kerrebijn I et al. Nat Med (2026) |
Reported Trait: incident fibromyalgia cases | — | AUROC: 0.59 | — | — | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS012250 | ICD 10 - M79.7 | — | [
|
— | European | — | UKB | — |